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About us: We are seeking an enthusiastic postdoctoral researcher with a PhD in genetics, statistics, epidemiology, data science, or related quantitative field to work on a our Wellcome-funded
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analysis algorithms for the observation and interpretation of existing and new spectroscopic data of exoplanet atmospheres. Experience on cloud/haze microphysics modelling and large scale simulations is
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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intracellular pathogens associated with relapsing infections in later stages. The role involves applying cutting-edge microbiological and cell biological techniques, drawing on tools from genetics
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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where the antibody maturation reactions occur. The laboratory uses a multi-disciplinary approach including mouse genetics, immunological assays, genetic screening and various genomics tools. A list lab
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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experience: Essential criteria PhD in Biological Sciences, Molecular Biology/Genetics, Microbiology, Immunology or related discipline. Research experience in fungal pathogenesis, especially Candida. Research
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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the regenerative properties of a series of small RNAs that the laboratory has recently identified in human cardiac slices. Proliferating cardiomyocytes will be genetically labelled to be identified and their